Configurations

Configure ngql_result_style

By default, jupyter_nebulagraph will use pandas dataframe as output style to enable more human-readable output, while it's supported to use the raw thrift data format that comes from the nebula3-python itself.

This can be done ad-hoc with below one line:

%config IPythonNGQL.ngql_result_style="raw"

After the above line is executed, the output will be like this:

ResultSet(ExecutionResponse(
    error_code=0,
    latency_in_us=2844,
    data=DataSet(
        column_names=[b'Trainer_Name'],
        rows=[Row(
            values=[Value(
                sVal=b'Tom')]),
...
        Row(
            values=[Value(
                sVal=b'Wey')])]),
    space_name=b'pokemon_club'))

The result are always stored in variable _ in Jupyter Notebook, thus, to tweak the result, just refer a new var to it like:

In [1] : %config IPythonNGQL.ngql_result_style="raw"

In [2] : %%ngql USE pokemon_club;
    ...: GO FROM "Tom" OVER owns_pokemon YIELD owns_pokemon._dst as pokemon_id
    ...: | GO FROM $-.pokemon_id OVER owns_pokemon REVERSELY YIELD owns_pokemon._dst AS Trainer_Name;
    ...:
    ...:
Out[3]:
ResultSet(ExecutionResponse(
    error_code=0,
    latency_in_us=3270,
    data=DataSet(
        column_names=[b'Trainer_Name'],
        rows=[Row(
            values=[Value(
                sVal=b'Tom')]),
...
        Row(
            values=[Value(
                sVal=b'Wey')])]),
    space_name=b'pokemon_club'))

In [4]: r = _

In [5]: r.column_values(key='Trainer_Name')[0].cast()
Out[5]: 'Tom'